Evidence map›Paper›PMID 39191481›Full record

ArticleBJGP open2025

Translating in-person care to telehealth: a secondary analysis of GP consultations on musculoskeletal conditions.

Yifu Li, Simon Chan, Lawrence Lu, Tim M Jackson, Hania Rahimi-Ardabili, Annie Ys Lau

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Article in BJGP open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yifu LiCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.
Simon ChanCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.
Lawrence LuCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.
Tim M JacksonCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia Tim.Jackson@mq.edu.au.ORCID https://orcid.org/0000-0003-3539-6124
Hania Rahimi-ArdabiliCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.ORCID https://orcid.org/0000-0002-3555-9416
Annie Ys LauCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic led to a rapid transition to telehealth, particularly in general practice where continuous care for chronic conditions, such as musculoskeletal (MSK), is provided.

aimTo determine the appropriateness of telehealth for MSK conditions by identifying whether in-person tasks can be supported remotely via telehealth. DESIGN &

settingThis study is a secondary analysis of the Harnessing Resources from the Internet (HaRI) dataset. This dataset comprises of 281 videos of recorded GP consultations. The dataset includes 10 GPs, across eight separate clinics, and was collected during 2017 in the UK.

methodContent analysis was conducted to identify the clinical tasks, physical examinations, and physical artefacts used during the consultations. A scoring method applying two key metrics was developed to assess the translatability of clinical tasks to telehealth.

resultsAcross the 31 MSK consultations analysed, 12 clinical tasks, five physical examinations, and 12 physical artefacts were observed. Of clinical tasks, 17% (

conclusionMost clinical tasks observed during in-person GP consultations with patients with MSK conditions are translatable to telehealth. Further research is necessary to investigate the long-term efficacy and safety of telehealth utilisation for MSK conditions in primary care.

Indexed as

general practicemusculoskeletal conditionsremote consultationtelehealthtelemedicinevirtual care

Identifiers

PMID39191481
PMCPMC12137991

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.